Shinnik Yaroslavl vs Krylia Sovetov: result 2-3 and analysis
First LeagueRegular Season - 7Kick-off on August 9, 2017 at 01:00 PM (UTC)Stadion Shinnik, Yaroslavl'
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What was the result of Shinnik Yaroslavl vs Krylia Sovetov?
Krylia Sovetov won 2-3 on August 9, 2017.
Goalscorers
- 13′S. MijailovićKrylia Sovetov
- 31′E. NizamutdinovShinnik Yaroslavl
- 68′S. KornilenkoKrylia Sovetov
- 82′Ivan TaranovShinnik Yaroslavl (o.g.)
- 87′S. KornilenkoKrylia Sovetov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shinnik Yaroslavl have 6 wins, 2 draws and 7 defeats; Krylia Sovetov have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Nizhny Novgorod(away) | 1-0 | First League |
| Jul 30, 2017 | Luch-Energiya(home) | 1-1 | First League |
| Jul 26, 2017 | Kuban(away) | 0-1 | First League |
| Jul 22, 2017 | Rotor Volgograd(home) | 3-1 | First League |
| Jul 15, 2017 | Fakel(away) | 2-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Volgar Astrakhan(home) | 1-0 | First League |
| Jul 30, 2017 | Khimki(away) | 2-0 | First League |
| Jul 26, 2017 | TOM Tomsk(home) | 0-1 | First League |
| Jul 22, 2017 | Avangard Kursk(home) | 1-0 | First League |
| Jul 15, 2017 | Nizhny Novgorod(away) | 0-0 | First League |
How many goals should we expect?
Shinnik Yaroslavl score 1.1 and concede 1.3 goals per match over their last 15; Krylia Sovetov score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shinnik Yaroslavl | 1.1 | 1.3 | 2 | 7/15 | 6/15 |
| Krylia Sovetov | 1.3 | 0.9 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Shinnik Yaroslavl | 7 | 3 | 3 | 1 | 12 | 9 | 12 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy